Semi-supervised learning tries to utilize unlabeled data to help improve learning performance, mainly when limited labeled training examples exist...

Logic and Non-Logic based AI have divergently evolved to master techniques and methods that allow them each to tackle unique challenges...

Blockchain technology can be applied to AI in healthcare because of the promise of safer and more secure data storage. EHR and Big data could have a great advantage. Its important to keep an eye on this technology...

The process behind Machine Learning consists of evaluating data, choosing a model, training, evaluating, and fine-tuning the model...

Natural language processing is the field of data science concerned with understanding and generating human language using computer techniques...

Interoperability is an integrative feature of digital medicine. It will take a fundamental role in healthcare-related AI, as it will be the standardized foundation for every single algorithm and structured data processed on AI worldwide...

Retinal implants are one of the most promising therapies for retinal degenerative diseases. They replicate the function of damaged photoreceptors and create nervous impulses that translate into visual cortex stimulation and partial vision restitution...